AI Output Review Guide
AI Output Review Guide is a one-page checklist for checking AI-assisted drafts for facts, omissions, tone and audience before you send, publish or act on them. It shows when to revise, ask for human review or pause.
Every employee gets a seat — priced per employee in Communications & Intranet, quoted with this template ready.
Rolled out to every employee at AutoZone (125,000), PetSmart (50,000+), A.S. Watson and Raley's (20,000) — and at larger retailers we are not permitted to name.
Built for: Professional services · Financial services · Technology and software · Healthcare administration
Overview
AI Output Review Guide is a one-page wiki practice guide for employees who plan to send, publish or act on an AI-assisted draft, summary or answer. It opens with the core responsibility—review what you put your name to—and explains that checking a result exposes weak spots but does not guarantee reliability. The page uses Northstar Services, a fictional company, to show a billing-portal migration update before and after review; the scenario is practice material, not company policy or a real project.
The worked example contrasts an overconfident draft with a more qualified update, then traces four claims to checks against a project tracker, sign-off record and test notes. A four-step review covers facts, omissions, tone and audience, and the decision to use, revise or pause. The escalation section distinguishes wording questions for a knowledgeable colleague or manager from sensitive subject-matter concerns that belong in the organization’s applicable reviewed process. FAQs clarify that citations must be opened and checked, disclosure follows local guidance, and a clean review is not proof of correctness.
Use this page as a quick reference before sharing AI-assisted content, or as a starting point for a team discussion about review habits. Customize the fictional example and add only verified local review routes. Do not treat it as an AI-use policy, a substitute for subject-matter approval, or a compliance checklist for legal, financial, security or other regulated decisions. If a key claim cannot be verified, the reviewer lacks the expertise to assess it, or the full output cannot be checked in time, pause and use the organization’s approved route.
Standards & compliance context
- Treat this page as review guidance, not legal or regulatory approval; apply the requirements and organizational policies relevant to the content and decision.
- For legal, financial, security, contractual or person-affecting claims, use the organization’s applicable reviewed process rather than relying on this guide alone.
- Follow the organization’s guidance on disclosing AI assistance; the page does not prescribe a universal disclosure rule.
- Keep the page accessible by using descriptive headings, readable text and clear links, and check it against WCAG 2.1 AA practices when publishing.
General regulatory context for orientation only — verify current requirements with counsel or the relevant agency before relying on this template for compliance.
What's inside this template
Review an AI result before you rely on it
This introduction sets the reviewer’s responsibility and marks the Northstar Services scenario as fictional practice material.
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For anyone who plans to send, publish or act on an AI-assisted draft, summary or answer An AI result can read smoothly and still be wrong, incomplete or aimed at the wrong audience. You are the reviewer of anything you put your name to. This page gives you a four-part check: facts, omissions, tone and audience, and when to escalate. Running the check does not make a result reliable; it makes weak spots visible so you can fix them or hand them to the right person. The examples use Northstar Services , a fictional company. A project coordinator asks an AI tool to summarize the weekly status of a billing portal migration for stakeholders. The draft below is practice material, not a real project or a company policy.
Worked example: the same update, before and after review
Compare an unsupported, overconfident draft with a version that states scope, pending sign-off and untested work.
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Both versions describe the same fictional migration. The reviewer compared the draft with the project tracker and the latest test notes. AI draft (as generated) “The billing portal migration is complete and customers experienced no disruption. All teams have signed off, and the portal now supports every payment method. We're thrilled with the incredible results!” States completion, but only pilot accounts have moved Says “all teams have signed off,” which no source supports Claims every payment method works, yet one is untested Celebratory tone for a status update read by cautious finance stakeholders Reviewed version (ready to send) “Pilot accounts moved to the new billing portal on the planned date. Remaining accounts move in the next phase. Finance Operations sign-off is pending until the reconciliation test is rerun. Card and bank transfer payments work in testing; invoice-by-post has not been tested yet. Next update: Friday.” Scope stated: pilot accounts only Pending sign-off named with its dependency Untested payment method listed, not hidden Neutral wording with a clear next update
What the reviewer actually checked
See how each questionable claim was checked against a source, narrowed or removed.
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Each claim in the draft was traced to a source or removed. Claim in the draft Check made Result Migration is complete Compared with the project tracker phase list Changed to pilot accounts only No customer disruption Searched the incident log for the cutover window; none found, but no customer feedback reviewed Removed; not verifiable All teams signed off Read the sign-off record Corrected: Finance Operations pending Every payment method supported Read the test notes Narrowed to two tested methods; one untested
The four-part check
Follow the sequence for verifying facts, finding omissions, matching tone to audience and deciding whether to use, revise or pause.
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Work through these in order. Allow time to check the claims and sources; pause the draft when a material claim cannot be verified. Check the facts Highlight every name, number, date, quotation and “has been done” statement. Trace each one to a source you trust, such as the tracker, the original document or the person who owns it. If you cannot find a source, treat the claim as unconfirmed and remove it or label it. Check for omissions Ask what the draft leaves out: open risks, dependencies, exceptions, people affected, or the view of a team that disagrees. Compare against your source material, not against the draft itself. Add the missing caveat in plain words. Check tone and audience Read it as the recipient would. Is the level of detail right for them? Does it sound more certain, more cheerful or more formal than the situation warrants? Replace hype and vague reassurance with specific, neutral wording. Decide: use, revise or pause Use it if every claim is supported and nothing material is missing. Revise it if you can fix the gaps yourself. Pause and ask a human reviewer if you cannot check a claim, if the topic is outside your expertise, or if the result affects people, money, data or commitments to customers.
When to pause and who to ask
Choose an escalation route based on whether the concern is wording, subject matter or an output you cannot adequately verify.
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Route the question to the person or process that owns the answer. Your organization's own review routes take precedence over this guide. Ask a knowledgeable colleague or your manager Use this for wording and judgment questions where the facts are already checked. You are unsure whether the tone suits the audience Two reasonable readers might interpret the summary differently Say what you checked and what still worries you Use the applicable reviewed process Use this when the concern is about subject matter, data or sensitive impact rather than style. The result mentions customer, employee or confidential information It makes a legal, financial, security or contractual statement It would affect a decision about a person Follow the route your organization has approved for that topic Pause and do not use the output If you cannot adequately check a result, the safe choice is not to rely on it. No source exists for a key claim The output is long and you cannot review all of it before the deadline Keep the original request and draft so a reviewer can see what was generated
Common questions
Resolve practical questions about accuracy, citations, AI disclosure and disagreements with a reviewer.
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Does a clean review mean the result is correct? No. Review lowers the chance of passing on an error, but it cannot guarantee accuracy. Keep claims tied to sources and stay open to corrections after you send. What if the AI cites a source? Open the source yourself. Confirm it exists, says what the draft says, and is current. Citations can be wrong or invented. Should I tell readers that AI helped draft the text? Follow your team's or organization's guidance on disclosure. If none applies to your situation, ask your manager before you send. What if I disagree with the reviewer's change? Explain the source you relied on. The aim is a supported statement, not a winner. If you still disagree, ask the owner of the subject area to decide.
How to use this template
- Publish the guide in the wiki area employees use for writing or AI-use guidance, and replace the fictional example only with a clearly labeled example suitable for your organization.
- Before sharing an AI-assisted result, identify its audience and purpose, gather the current source material, and set aside time to review the complete output.
- Highlight names, numbers, dates, quotations and claims about completed work, then check each against a trusted, current source and remove or qualify anything unsupported.
- Compare the draft with the source material for missing risks, dependencies, exceptions and affected groups, then revise its tone and level of detail for the intended readers.
- Decide whether to use, revise or pause the result; route sensitive or out-of-scope questions through the applicable reviewed process and keep the original request and draft when a reviewer needs context.
- After sharing, respond to corrections and update the page when the organization’s approved review routes or guidance change.
Best practices
- Check every name, number, date, quotation and completion claim against a source instead of judging accuracy by how confidently the AI writes.
- Open cited sources yourself and confirm that each one exists, is current and supports the specific statement.
- Compare the draft with source material to spot omitted risks, dependencies, exceptions and differing team views.
- State the scope of progress precisely, such as pilot accounts rather than all accounts, and name pending sign-off or untested items.
- Use neutral, specific wording when the audience needs an operational update; remove hype and reassurance that the evidence does not support.
- Pause when a key claim has no source, the subject is outside your expertise, or you cannot check the full output before the deadline.
- Send style and interpretation questions to a knowledgeable colleague or manager, and use the approved process for sensitive or high-impact subject matter.
- Keep the original request and generated draft when escalating so the reviewer can see what was produced and what remains uncertain.
What this template typically catches
Issues teams running this template most often surface in practice:
Common use cases
Frequently asked questions
What kinds of AI-assisted content does this guide cover?
It applies to drafts, summaries and answers you plan to send, publish or act on. The worked example is a fictional project status update, but the four-part check can also help with other content. Sensitive or high-impact topics need the applicable reviewed process, not just this guide.
When should I review an AI result?
Review it before you rely on it or share it. Allow enough time to trace claims to current sources and check for material omissions. If you cannot review the whole result adequately before a deadline, pause rather than use it.
Who should run the review, and who owns escalation?
The person putting their name to the result is responsible for reviewing it. Ask a knowledgeable colleague or manager about wording and judgment when needed. For legal, financial, security, contractual, personal-impact or sensitive-data questions, follow the organization’s approved process and route.
Does reviewing the output make it accurate or compliant?
No. The guide makes potential weak spots visible, but review cannot guarantee accuracy or compliance. Verify claims against trustworthy, current sources and follow your organization’s policies and applicable requirements for the subject matter.
What is the most common mistake when checking an AI draft?
A smooth, confident tone can make unsupported claims sound settled. Check names, numbers, dates, quotations and statements about completed work against their sources; remove claims you cannot verify. Also compare the draft with source material to find omitted risks, dependencies and exceptions.
Can we customize the guide for our organization?
Yes. Keep the four checks and replace Northstar Services’ fictional migration example with a clearly labeled example relevant to your readers. Add links or instructions only for review routes your organization has confirmed, and identify who owns corrections and updates.
Does this template include integrations or an automated approval workflow?
No. It is a static practice guide with a fictional before-and-after example, a claim-check table, review steps and escalation guidance. It does not connect to AI tools, source systems or approval workflows.
How should we roll this guide out?
Publish it where employees look for guidance on drafting and review, then direct readers to it before they use AI-assisted content. Explain which local review routes take precedence and who can answer questions. Revisit the page when those routes or organizational guidance change.
How is this different from an ad-hoc reread?
A quick reread can catch awkward wording but miss unsupported facts, hidden omissions or a mismatch with the audience. This guide makes the review sequence explicit: verify facts, look for omissions, check tone and audience, then decide whether to use, revise or pause. It also gives reviewers a concrete example of the evidence and corrections to record.
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Ready to use this template?
Every employee gets a seat. Request pricing for Communications & Intranet and we quote into a workspace with AI Output Review Guide ready.
Rolled out to every employee at AutoZone (125,000), PetSmart (50,000+), A.S. Watson and Raley's (20,000) — and at larger retailers we are not permitted to name.
